Supervised Classification Using Homogeneous Logical Proportions for Binary and Nominal Features

Abstract : The notion of homogeneous logical proportions has been recently introduced in close relation with the idea of analogical proportion. The four homogeneous proportions have intuitive meanings, which can be related with classification tasks. In this paper, we proposed a supervised classification algorithm using homogeneous logical proportions and provide results for all. A final comparison with previous works using similar methodologies and with other classifiers is provided.
Complete list of metadatas

Cited literature [13 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01197280
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Friday, September 11, 2015 - 1:54:29 PM
Last modification on : Thursday, October 17, 2019 - 8:55:56 AM
Long-term archiving on : Tuesday, December 29, 2015 - 12:38:09 AM

File

moraes_12866.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01197280, version 1
  • OATAO : 12866

Citation

Ronei Moraes, Liliane Machado, Henri Prade, Gilles Richard. Supervised Classification Using Homogeneous Logical Proportions for Binary and Nominal Features. 18th Iberoamerican Congress on Pattern Recognition (CIARP 2013), Nov 2013, Havana, Cuba. pp. 165-173. ⟨hal-01197280⟩

Share

Metrics

Record views

110

Files downloads

149